Search

Every shopping malls are bulk consumers, they are spending huge amount for their electricity bills in every month. Maximum demand also make a major part of electricity bills. The classic maximum demand controller will operate based on demand value and results on/off the non-critical loads. The non-critical loads are connected in single channel. In shopping malls parking area maximum plug in electrical vehicles are act as a major loads. The proposed Internet of Things based Maximum demand controller will operate the each plug in electrical vehicle sockets based on the State of charge. Proposed system results avoid unnecessary shut off of non critical loads like Air conditioner system. The exclusive microcontroller do all the functions.

The present paper work introduce a new concept of converter techniques, because this method is widely used in industries purpose. So, the present paper work mainly focuses on converter to design and simulation done in PSIM Software. The three different proposed topologies of DC-DC converters are Zeta converter, Sepic converter and Luo converter are designed and theoretical derivations taken place in this paper. Further various ripple performance factors included in this work to identify which converter is best for industries applications. The low ripple techniques will identify and the switching characteristics losses, efficiency will be find out for the proposed work. The three converters were simulated in PSIM Software and the various parameters were found out.

The sorts of converters are characterized into six ages as per the qualities and improvement process. This characterization reviews all DC/DC converters and classifies new models. Since 2001, the DC/DC converter has been fabricated and this order has perceived in everywhere throughout the world. Presently it is anything but difficult to sort and apportion DC/DC converters and evaluate their specialized highlights. DC/DC converters are basic in assortment of uses including power supplies, for example, individual/smart phones, telephones, office equipment's, rocket control frameworks, and media transmission equipment's, and also heavenly bodies where input/yield voltage ranges cover. PWM age is viewed as the more essential in the Converter plan and a few multicarrier strategies have been produced to diminish the mutilation in level converters in light of the established with triangular transporters [1] . A DC/DC converter is an electronic circuit which changes over a wellspring of direct present (DC) starting with one voltage level then onto the next. It is a class of energy converter.

A Human Machine Interface (HMI) is an application that permits the correspondence between a man and a machine. Surface Electromyogram (sEMG) is an electrophysiological sign that gives inalienable data about the exercises of the human skeletal muscle. This paper proposes an sEMG design acknowledgment framework to control the myoelectric hand framework utilizing sEMG for HMI with the assistance of neural systems. Six parametric element extraction calculations are applied to get the unmistakable data from sEMG, for example, AR (Autoregressive) Burg, AR Yule-Walker, AR Covariance, AR Modified Covariance, Levinson Durbin Recursion, and Linear Prediction Coefficient. The sEMG signals are demonstrated utilizing General Regression Neural Network (GRNN), Probabilistic Neural Network (PNN) and Radial Basis Function Neural Network (RBFNN). The reaction of the HMI framework has gotten normal mean arrangement exactness of 94.04% for AR Burg highlights utilizing RBFNN. From the outcomes, it is seen that AR Burg utilizing the Radial premise neural system outflanked different systems in arranging twelve distinctive finger developments and females control the framework simpler than guys. It is likewise apparent that the age bunch between 26 and 30 delivered better exhibitions.

Lightning is a well-known life-threatening natural phenomenon. The lightning not only threatens the life of humans and animals but also threatens the nominal operation of electrical and electronics devices. Therefore, appropriate lightning arresting mechanisms should be designed to arrest the lightning and its impact, including voltage and current surges in power systems. To design the lightning surge arresters, the characteristics of the lightning have to be studied, which are presented in this paper.

Glaucoma is the most common reason for permanent blindness and disability in the universe. Despite this, the vast majority of people are unaware that they have the infection, and detecting glaucoma progression with current technology continues to be a challenge in clinical research. The implementation of a machine-learning algorithm to the retinal fundus image gives a solution. In this research, 250 glaucomatous and 250 healthy retinal fundus images from the ACRIMA. For cleaning the data some pre-processing techniques are used. The feature extraction techniques such as Gray-Level Co-occurrence Matrix (GLCM), Gray Level Run-Length Matrix (GLRM), and Histogram of Oriented Gradients (HOG) are applied to the clean data. This process helps to retrieve beneficial information from the data. Finally, the retrieved features are taken as input to the machine learning classifier such as Support Vector Machine (SVM), Naive Bayes, K-Nearest Neighbor (K-NN), and Linear Discriminant Analysis (LDA) to construct the model. For assessment of feature extraction and classification, several performance metrics like accuracy, True and False Positive Rate (TPR/FPR), True and False Negative Rate (TNR/FNR), precision, and Performance Index (PI) are used. From the analysis, it is found that the GLCM feature extraction with the Naive Bayes model is the finest combination and it gives a 95% accuracy level.

The main objective of this paper is to monitor the power generated from the solar and from the wind turbines and to log the data to the cloud server in the graphical representation. The system has unique feature of power identification on any solar panel network or from any wind turbine network and reports the power generation unit regarding the power failure information via SMS services. Also, the system alerts the power generation regarding the critical or excessive load demand from the grid and alert the management through SMS notification

This paper proposes the hybrid vehicle power management system in order to efficiently use the peripherals available in the electric vehicle and to increase the mileage of vehicle. This project categorizes the peripherals available in the electric vehicle into three types which are mandatory, less priority peripherals and luxury peripheral devices. The system allows the user to enter the distance to be covered in single charge and according to the power availability the less priority peripheral is disabled in order to increase the mileage of the electric vehicle. Also, the electric vehicle is charged with the help of piezo electric crystal based on the vibration caused by the vehicle movement.

The main objective of this paper is the generation of renewable energy resource by all possibilities of power generation using our daily basis operation. In this project, the non-conventional energy resource like solar energy and the water motion in the water pipelines that connect to the water tanks is utilized in order to generate the electricity. Power is generated from solar, and water pipelines are utilized for domestic power consumption.

The main objective of this paper is to reduce the power usage in home by cutting off the unnecessary equipments running in the home by sensing the human activity in the house. The project includes Arduino microcontroller as brain of its operation which smartly identifies the sensors deployed inside the house and activates or deactivates the home appliances based on the demand. This project includes RFID cards in order to open the main door to make the door access automatic and secured. Also in order to safeguard the home from theft, the intruder alert is made and the siren is automatically generated to avoid theft. To alert the user, the theft attempt notification is automatically sent to the concern person via SMS service. The Automatic portico lights are controlled by PWM pulses for intensity control based on the external luminance to save more energy. Also based on the human activity and temperature of the room, the air conditioner is controlled automatically with desired temperature. The system also prevents the wastage of electricity by controlling the water motors automatically.

Wind power is the strongest way to mitigate various kinds of clean age emissions. Operated continuously for decades, but in the past, the overwhelming majority of windmills had steady rotational rpm. Most airflow farms are focusing their operations to generate speed control turbines in order to increase their overall effectiveness. Alternatively, the inverter could be installed on the matrix side. Z-source inverter, which is more often referred to as an impedance source inverter, was introduced in this paper as a staging ground for upcoming developments. This transmits high-end strength to the truss. As long as the building possesses a variable breeze pace, wind turbines may be built that enhance the turbine's variable torque, and which drive an unchanging synchronous generator. This AC is maintained by using a rectifier after doing the job of removing the portion of the impedance source inverter's source inverter was missed and the electricity was supplied to the transformer.

Due to the ever-increasing concern for the environment and the progression of technology, renewable energy such as solar photovoltaic (PV), wind, and super capacitor is being widely used. Many creative approaches have been used to convert the power from renewable sources. One such creative solution is using power electronic converters to match the load and grid requirements so that the renewable generation's dynamic but instead steady-state characteristics are enhanced, with the goal of achieving maximum power point tracking (MPPT) regulate and energy storage to resolve this issue. This new design seeks to increase circuit efficacy and power density by using a multiple DC-DC converter [3] which has a DC input port for renewable sources, an unidirectional Input voltage port for energy storage, as well as an Output signal port for operating the load. A few new DC-DC four converters have developed in recent years and are now being researched in the literature. This study reviews several three-port DC/DC converter topologies that have been developed by different research organizations. The study concludes that topologies based on three-port Power converter with power terminals and a single inductor are likely for further research. The suggested system's simulation is done using MATLAB/SIMULINK.

New technological hurdles are growing as renewable energy-based generating distributions are rising. Due to the nearness of linked inverters and the variety of solar PV inverters, it is more likely for an overvoltage issue to occur. This is similar to the previous statement, which said that solar PV inverters help enhance the probability of reverse power flow. The continued issues with distribution network operations might lead distribution channel operators to institute further stricter limitations on the implementation of distributed PV inverters into their distribution networks. Despite this, these issues may be solved by means of supervision monitoring and data collection, such as SCADA. It's also a lot more expensive to build SCADA-like functionality using low voltage networks as there will be a large number of special equipment that will be linked to them. Instead, multi-agent systems like multi-robot systems may be used to deal with the aforementioned technological issues. This system is flexible and capable of using several control strategies, including decentralized control and hierarchical control, which may help to overcome the many technological issues.

The main objective of this paper is to increase the efficiency of electric vehicle by utilizing the available battery power and combustion engine power. The hybrid energy storage system helps to enhance the life of battery by reducing the peak power demand using an auxiliary fuel injector to the hybrid engine. When there is sudden raise in acceleration, the peak power demand raises and hence the battery life gets reduced, when there is sudden peak in discharge. In order to overcome this drawback, the hybrid engine takes both the fuel injector output and auxiliary energy storage system battery power to satisfy the load demand. We have used ARDUINO as a brain of this operation and it smartly identifies the excess power demand, cruise and normal mode of acceleration and rapidly switch between the battery storage and fuel injector accordingly in order to increase battery life time.

In this paper, wind energy based voltage swell and sag is calculated by using buck-boost otherwise bidirectional ac-ac converter is proposed. The most important thing to remember is to get a unidirectional buck converter that has no difficulties with shoot through and has an efficient switching unit. The resistor and capacitor snubbers provide the unidirectional option, resulting in smooth commutation. The reverse recovery loss and its related issues are configured by the freewheeling diode, where it has used with the power MOSFTET without the conduction of its body diodes. Even without using the non-inverting and inverting operations in the amplifiers, it can get a voltage gain and compensates both the voltage sag and swell, where IGBT and its gate pulse of PWM signal are mainly considered. Therefore, the proposed voltage ac-ac converter is used as a restorer of voltage, which can also be used in dynamic conditions to compensate both the swell and sag of the output voltage. Here, MATLAB Simulink is used for experimenting the voltage sag and swell ac-ac converter and also a compensator with wind energy power systemis used.

In this era we can see that most of the things running without connection like connection less motors Taking a main role from that, the PMBLDCM (Permanent Magnet Brushless DC Motor) is developed. Here we introduce our Zeta converter to improve speed control and the power factor in such motors. In a continuous conductance mode called as CCM we can process both the power factor correction which is our main aim, and the voltage regulations are done. Also, the Zeta is used as the both buck and boost converter where it can be named as bidirectional converter where in the forward used as buck and the reverse is used as boost type of converters. DC link capacitors controls the speed of the Permanent magnet Brushless DC motors. DC link capacitors also eliminates the ripple torque of PMBLDC motors. The voltage source inverter is fed with rectified dc output from the capacitors. Inverted AC supply is given to the Brushless DC Motor. Driver circuit gives the gate pulses to the MOSFET switches. Here the MATLAB Simulink is used to get the circuit designs of the respective Zeta converter and the remaining functions such as BLDC motor and its output.

Energy today had become a key factor in deciding the product cost at micro level as well as in dictating the inflation and the debit burden at macro level. Energy cost is a significant factor in economic activity. Energy audit helps in energy cost optimization, pollution control, safety aspects and suggest the method to improve the operating and ianmaintenance. Energy audit of a building is a systematic procedure which aims to evaluate the building existing energy consumption. The project proposes an overview of general energy conservation measures (ECMS) that can be recommended for leading institution. There is a continuous increase in the demand for energy to cater the needs of our educational institution. The audit report basically list the recommended energy conservation measure to reduce the energy cost.

Electromyography (EMG) performs an investigation on muscles work through the examination of electrical movement that is created from muscles. This electrical movement is shown in type of sign is the consequence of neuromuscular initiation related with muscle constriction. Highlight extraction is the change of the crude sign information into an applicable information structure by evacuating clamor, and featuring the significant information. This paper investigates three fundamental classes of highlights, for example: time area, recurrence space, and the time-recurrence area for the activity of an EMG based control framework.

The requirement for astute cultivating particularly in creating nations like Indiahas developed to a more noteworthy degree. Additionally, investigate in IoT based remotesensor organizing agribusiness, for example, observing of ecological conditions liketemperature, Humidity of encompassing and soil dampness and so on. The reason forproposed framework is to enhance the water system arrangement of Indian horticultureand furthermore to give sufficient to water system to specific regionnow a days eachframework iscomputerized keeping in mind the end goal to confront new difficulties in thepresent days mechanized framework have less manual operation, adaptability, unwaveringquality and exactness. Because of this request each field incline toward mechanized controlframeworks.

Now a days about 334 million persons crossways the world are pain from asthma. The number of people distress from asthma has been increasing harshly over the years, pollution being one of the main reasons. However monitoring contamination is a wide subject, but ending oneself from asthma is an calmer method available. It is vital to keep track of what triggers asthma attack in a patient, because indications do not occur right after the exposure to the producing parameters. Afterwards, the problem of persistent asthma management is introduced with a short overview of traditional disease management techniques. A review on lines to asthma tele watching is made. By the expertise, the purpose is to hold the sickness in a measured national with trivial exertion, intrusiveness and price, and measure patient’s disorder accurately. The delay in attack occurs depending on how much the person is sensitive to the factor. Therefore we attempt to suggest a perfect of a smooth asthma extrapolation organization using Internet of Things.